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Practical Approaches to Causal Relationship ExplorationCausal Rule Discovery with Partial Association Test

Practical Approaches to Causal Relationship Exploration: Causal Rule Discovery with Partial... [Partial association test is a statistical means to test whether the association between two variables is persistent given other variables. The CR-PA algorithm has been developed to identify causal rules (CRs) by integrating association rule mining and partial association (PA) tests. The use of association rule mining enables fast identification of causal hypotheses (association rules) from large data sets, and partial association tests on these association rules eliminate non-persistent associations. This chapter firstly describes the basics of partial association tests and association rule mining, and then the CR-PA algorithm is presented in detail, followed by the discussions on the complexity and false discoveries of the algorithm. A tool which implements CR-PA is also introduced.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Practical Approaches to Causal Relationship ExplorationCausal Rule Discovery with Partial Association Test

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Publisher
Springer International Publishing
Copyright
© The Author(s) 2015
ISBN
978-3-319-14432-0
Pages
33 –50
DOI
10.1007/978-3-319-14433-7_4
Publisher site
See Chapter on Publisher Site

Abstract

[Partial association test is a statistical means to test whether the association between two variables is persistent given other variables. The CR-PA algorithm has been developed to identify causal rules (CRs) by integrating association rule mining and partial association (PA) tests. The use of association rule mining enables fast identification of causal hypotheses (association rules) from large data sets, and partial association tests on these association rules eliminate non-persistent associations. This chapter firstly describes the basics of partial association tests and association rule mining, and then the CR-PA algorithm is presented in detail, followed by the discussions on the complexity and false discoveries of the algorithm. A tool which implements CR-PA is also introduced.]

Published: Mar 3, 2015

Keywords: Association Rule; Target Variable; Association Rule Mining; Causal Discovery; Haenszel Test

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